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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1L. Dimitrio.

    Modelling nucleocytoplasmic transport with application to the intracellular dynamics of the tumor suppressor protein p53, Université Pierre et Marie Curie - Paris VI and Università degli studi di Roma I, September 2012.

    http://hal.inria.fr/tel-00769901
  • 2N. Jagiella.

    Parameterization of Lattice-Based Tumor Models from Data, Université Pierre et Marie Curie - Paris VI, September 2012.

    http://hal.inria.fr/tel-00779981
  • 3W. Weens.

    Mathematical modeling of liver tumor, Université Pierre et Marie Curie - Paris VI, September 2012.

    http://hal.inria.fr/tel-00779177

Articles in International Peer-Reviewed Journals

  • 4L. Almeida, P. Bagnerini, A. Habbal.

    Modeling actin cable contraction, in: Comput. Math. Appl., 2012, vol. 64, no 3, p. 310–321.

    http://dx.doi.org/10.1016/j.camwa.2012.02.041
  • 5L. Almeida, A. Chambolle, M. Novaga.

    Mean curvature flow with obstacles, in: Annales de l'Institut Henri Poincaré (C) Non Linear Analysis, 2012, vol. 29, no 5, p. 667 - 681. [ DOI : 10.1016/j.anihpc.2012.03.002 ]

    http://www.sciencedirect.com/science/article/pii/S0294144912000297
  • 6L. Almeida, J. Demongeot.

    Predictive Power of “A Minima” Models in Biology, in: Acta Biotheoretica, 2012, vol. 60, p. 3-19.

    http://dx.doi.org/10.1007/s10441-012-9146-4
  • 7E. Audusse, C. Chalons, O. Delestre, N. Goutal, M. Jodeau, J. Sainte-Marie, J. Giesselmann, G. Sadaka.

    Sediment transport modelling : Relaxation schemes for Saint-Venant – Exner and three layer models, in: ESAIM Proceedings, 2012, vol. 38, p. 78–98.

    http://hal.inria.fr/hal-00674363
  • 8S.-D. Ayata, M. Levy, O. Aumont, A. Sciandra, J. Sainte-Marie, A. Tagliabue, O. Bernard.

    Phytoplankton growth formulation in marine ecosystem models: should we take into account photo-acclimation and variable stoichiometry in oligotrophic areas ?, in: Journal of Marine Systems, December 2012, Accepted.

    http://hal.inria.fr/hal-00767456
  • 9J. Baladron, D. Fasoli, O. Faugeras, J. Touboul.

    Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons., in: The Journal of Mathematical Neuroscience, May 2012, vol. 2, no 1, 10 p. [ DOI : 10.1186/2190-8567-2-10 ]

    http://hal.inria.fr/inserm-00732288
  • 10F. Billy, J. Clairambault.

    Designing proliferating cell population models with functional targets for control by anti-cancer drugs, in: Discrete and Continuous Dynamical Systems - Series B, 2013, Accepted, to appear (Vol. 18, # 4) in June 2013.

    http://hal.inria.fr/hal-00726195
  • 11F. Billy, J. Clairambault, F. Delaunay, C. Feillet, N. Robert.

    Age-structured cell population model to study the influence of growth factors on cell cycle dynamics, in: Mathematical Biosciences and Engineering, 2013, vol. 10, p. 1–17.

    http://hal.inria.fr/hal-00730457
  • 12F. Billy, J. Clairambault, O. Fercoq, S. Gaubert, T. Lepoutre, T. Ouillon, S. Saito.

    Synchronisation and control of proliferation in cycling cell population models with age structure, in: Math. Comp. Simul., 2012, in press, available on line Apr. 2012. [ DOI : 10.1016/j.matcom.2012.03.005 ]

    http://hal.inria.fr/hal-00662885
  • 13A.-C. Boulanger, M.-O. Bristeau, J. Sainte-Marie.

    Analytical solutions for the free surface hydrostatic Euler equations, in: Communications in Mathematical Sciences, 2012, Accepted, to appear.

    http://hal.inria.fr/hal-00751685
  • 14A.-C. Boulanger, C. Cancès, H. Mathis, K. Saleh, N. Seguin.

    OSAMOAL: optimized simulations by adapted models using asymptotic limits, in: ESAIM Proceedings, 2012, vol. 38, p. 183–201.

    http://hal.inria.fr/hal-00733865
  • 15V. Calvez, M. Doumic, P. Gabriel.

    Self-similarity in a General Aggregation-Fragmentation Problem; Application to Fitness Analysis, in: J. Math. Pures Appl., 2012, vol. 98, p. 1–27.
  • 16I. Cheddadi, P. Saramito, F. Graner.

    Steady Couette flows of elastoviscoplastic fluids are non-unique, in: J. Rheol., January 2012, vol. 56, no 1, p. 213-239. [ DOI : 10.1122/1.3675605 ]

    http://hal.inria.fr/hal-00616273
  • 17J. Clairambault.

    Can theorems help treat cancer?, in: J Math Biol, 2012, Published on line, Feb. 2012. [ DOI : 10.1007/s00285-012-0518-9 ]

    http://hal.inria.fr/hal-00780203
  • 18L. Dimitrio, J. Clairambault, R. Natalini.

    A spatial physiological model for p53 intracellular dynamics, in: J Theor Biol, 2013, vol. 316, p. 9–24. [ DOI : 10.1016/j.jtbi.2012.08.035 ]

    http://hal.inria.fr/hal-00726014
  • 19M. Doumic, M. Hoffmann, P. Reynaud, V. Rivoirard.

    Nonparametric estimation of the division rate of a size-structured population, in: SIAM J. on Numer. Anal., 2012, vol. 50, no 2, p. 925–950.
  • 20M. Doumic, L. M. Tine.

    Estimating the Division Rate for the Growth-Fragmentation Equation, in: Journal of Mathematical Biology, 2012, in press, published on line June 2012. [ DOI : 10.1007/s00285-012-0553-6 ]

    http://hal.inria.fr/hal-00634539
  • 21D. Drasdo, S. Hoehme.

    Predicting the growth pattern of cell populations: pushing, pulling and the effect of an granular and cellular embedding medium, in: New Journal of Physics, 2012, vol. 14, 055025 p, Accepted.

    http://hal.inria.fr/hal-00778129
  • 22M. Galtier, J. Touboul.

    On an explicit representation of the solution of general linear differential equations, in: Comptes-Rendus de l'académie des Sciences, Paris, Ser. I, 2012, vol. 35, no 3–4, p. 167–172.
  • 23H.G. Holzhuetter, D. Drasdo, T. Preusser, J. Lippert, A.M. Henney.

    The virtual liver: a multidisciplinary, multilevel challenge for systems biology, in: Wiley Interdiscip Rev Syst Biol Med, 2012, vol. 4, p. 221–235.

    http://hal.inria.fr/hal-00779280
  • 24F. James, N. Vauchelet.

    Chemotaxis: from kinetic equations to aggregate dynamics, in: Nonlinear Differential Equations and Applications, 2012, published on line, March 2012.

    http://hal.inria.fr/hal-00605479
  • 25F. James, N. Vauchelet.

    On the hydrodynamical limit for a one dimensional kinetic model of cell aggregation by chemotaxis, in: Riv. Mat. Univ. Parma, 2012, vol. 3, no 1, p. 91–113.
  • 26A. Lorz.

    A coupled Keller–Segel–Stokes model: global existence for small initial data and blow-up delay, in: Commun. Math. Sci., 2012, vol. 10, no 2, p. 555–574.

    http://www.alexanderlorz.com/LorzKSfluid2011.pdf
  • 27A. Lorz, T. Lorenzi, M. E. Hochberg, J. Clairambault, B. Perthame.

    Populational adaptive evolution, chemotherapeutic resistance and multiple anti-cancer therapies, in: Mathematical Modelling and Numerical Analysis, 2012, Published online by Cambridge University Press, 02 September 2012. [ DOI : 10.1051/m2an/2012031 ]

    http://hal.inria.fr/hal-00714274
  • 28H. Ozbay, C. Bonnet, H. Benjelloun, J. Clairambault.

    Stability Analysis of Cell Dynamics in Leukemia, in: Mathematical Modelling of Natural Phenomena, January 2012, vol. 7, no 1, p. 203-234. [ DOI : 10.1051/mmnp/20127109 ]

    http://hal.inria.fr/hal-00766052
  • 29S. Prigent, A. Ballesta, F. Charles, P. Gabriel, L. M. Tine, H. Rezaei, M. Doumic.

    An Efficient Kinetic Model for Assemblies of Amyloid Fibrils and Its Application to Polyglutamine aggregation, in: Plos One, 2012, vol. Published on line November 2012.

    http://dx.doi.org/10.1371/journal.pone.0043273
  • 30I. Ramis-Conde, D. Drasdo.

    From Genotypes to Phenotypes: classification of the tumour profiles in the cadherin adhesion pathway, in: Physical Biology, 2012, vol. Jun;9(3), 036008 p.

    http://hal.inria.fr/hal-00779279
  • 31T. Taillefumier, J. Touboul, M. Magnasco.

    Exact Event-Driven Implementation for Recurrent Networks of Stochastic Perfect Integrate-and-Fire Neurons, in: Neural Computation, 2012, vol. 24, no 12, p. 3145–3180.
  • 32M. Tang, N. Vauchelet, I. Cheddadi, I. Vignon-Clementel, D. Drasdo, B. Perthame.

    Composite waves for a cell population system modelling tumor growth and invasion, in: Chinese Annals of Mathematics - Series B, 2013, vol. 34B, no 2, p. 295-318. [ DOI : 10.1007/s11401-007-0001-x ]

    http://hal.inria.fr/hal-00685063
  • 33F. Thomas, D. Fisher, P. Fort, J.-P. Marie, S. Daoust, B. Roche, C. Grunau, C. Cosseau, G. Mitta, S. Baghdiguian, F. Rousset, P. Lassus, E. Assenat, D. Grégoire, D. Missé, A. Lorz, F. Billy, W. Vainchenker, F. Delhommeau, S. Koscielny, R. Itzykson, R. Tang, F. Fava, A. Ballesta, T. Lepoutre, L. Krasinska, V. Dulic, P. Raynaud, P. Blache, C. Quittau-Prevostel, E. Vignal, H. Trauchessec, B. Perthame, J. Clairambault, V. Volpert, E. Solary, U. Hibner, M. E. Hochberg.

    Applying ecological and evolutionary theory to cancer: a long and winding road, in: Evolutionary Applications, 2013, vol. 6, no 1, p. 1–10.

    http://dx.doi.org/10.1111/eva.12021
  • 34J. Touboul, G. Hermann, O. Faugeras.

    Noise-induced behaviors in neural mean field dynamics, in: SIAM J. on Dynamical Systems, 2012, vol. 11, no 49–81.
  • 35J. Touboul, G. Hermann.

    Heterogeneous connections induce oscillations in large-scale networks, in: Physical Review Letters, 2012, vol. 109, no 018702.
  • 36J. Touboul.

    Controllability of the heat and wave equations and their finite difference approximations by the shape of the domain, in: Mathematical Control and Related Fields, 2012, vol. 2, no 4, p. 429–455.
  • 37J. Touboul.

    Limits and Dynamics of Stochastic Neuronal Networks with Random Heterogeneous Delays, in: Journal of Statistical Physics, 2012, vol. 149, no 4, p. 569–597.
  • 38J. Touboul.

    Mean-field equations for stochastic firing-rate neural fields with delays: Derivation and noise-induced transitions, in: Physica D: Nonlinear Phenomena, 2012, vol. 241, no 15.

International Conferences with Proceedings

  • 39F. Billy, J. Clairambault, O. Fercoq, T. Lorenzi, A. Lorz, B. Perthame.

    Modelling targets for anticancer drug control optimisation in physiologically structured cell population models, in: Proceedings of ICNAAM 2012, Kos (Greece), American Institute of Physics, 2012, vol. AIP Conf. Proc. 1479, p. 1323–1326.

    http://hal.inria.fr/hal-00780721

Scientific Books (or Scientific Book chapters)

  • 40A. Ballesta, J. Clairambault, S. Dulong, F. Lévi.

    A systems biomedicine approach for chronotherapeutics optimization: focus on the anticancer drug irinotecan, in: New Challenges for Cancer Systems Biomedicine, SIMAI Lecture Notes, A. D'Onofrio, P. Cerrai, A. Gandolfi (editors), SIMAI Lecture Notes, Springer, New York, 2012, p. 301–327.

    http://hal.inria.fr/hal-00780810
  • 41N. Ben Abdallah, C. Jourdana, P. Pietra, N. Vauchelet.

    A hybrid classical-quantum approach for ultra-scaled confined nanostructures : modeling and simulation, in: Congrès national de Mathématiques Appliquées et Industrielles, ESAIM Proc., EDP Sci., Les Ulis, 2012, vol. 35, p. 239–244.
  • 42F. Billy, J. Clairambault, O. Fercoq.

    Optimisation of cancer drug treatments using cell population dynamics, in: Mathematical Methods and Models in Biomedicine, U. Ledzewicz, H. Schättler, A. Friedman, E. Kashdan (editors), Lecture Notes on Mathematical Modelling in the Life Sciences, Springer New York, January 2013, p. 265–309. [ DOI : 10.1007/978-1-4614-4178-6_10 ]

    http://hal.inria.fr/hal-00770366
  • 43J. Clairambault, O. Fercoq.

    Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology, in: Mathematical modelling of cancer growth and treatment, New York, M. Bachar, J. Batzel, M. Chaplain (editors), LNMBIOS Subseries, Springer, New York, 2013, To appear.

    http://hal.inria.fr/hal-00750633
  • 44E. Ortiz-Tudela, A. Mteyrek, A. Ballesta, P. Innominato, F. Lévi.

    Circadian timing in cancer treatments, in: Circadian clocks, A. Kramer, M. Merrow (editors), Handbook of experimental pharmacology, Springer, 2013, vol. 217, In press.

    http://hal.inria.fr/hal-00780807

Internal Reports

  • 45P.-L. Lions, B. Perthame, P. E. Souganidis.

    Stochastic averaging lemmas for kinetic equations, CEREMADE, Univ. Paris-Dauphine and LJLL, UPMC and Inria Paris-Rocquencourt, April 2012.

    http://hal.inria.fr/hal-00684372
  • 46S. Stoma, A. Donzé, F. Bertaux, O. Maler, G. Batt.

    STL-based analysis of TRAIL-induced apoptosis challenges the notion of type I/type II cell line classification, Inria, October 2012, no RR-8121, 35 p.

    http://hal.inria.fr/hal-00750063

Other Publications

  • 47N. Andre, D. Barbolosi, F. Billy, G. Chapuisat, F. Hubert, E. Grenier, A. Rovini.

    Mathematical model of cancer growth controled by metronomic chemotherapies, 2012, 18 pages.

    http://hal.inria.fr/hal-00751645
  • 48E. Bouin, V. Calvez, N. Meunier, S. Mirrahimi, B. Perthame, G. Raoul, R. Voituriez.

    Invasion fronts with variable motility: phenotype selection, spatial sorting and wave acceleration, 2012, 7 pages.

    http://hal.inria.fr/hal-00716349
  • 49M. Doumic, M. Hoffmann, N. Krell, L. Robert.

    Statistical estimation of a growth-fragmentation model observed on a genealogical tree, 2012, 46 pages, 4 figures.

    http://hal.inria.fr/hal-00763601
  • 50S. Mirrahimi, B. Perthame, J. Y. Wakano.

    Direct competition results from strong competiton for limited resource, 2012, Submitted.

    http://hal.inria.fr/hal-00663832
References in notes
  • 51E. Audusse, M.-O. Bristeau.

    A well-balanced positivity preserving second-order scheme for shallow water flows on unstructured meshes, in: J. Comp. Phys., 2005, vol. 206, p. 311-333.
  • 52A. Decoene.

    Modèle hydrostatique pour les écoulements à surface libre tridimensionnels et schémas numériques, Université Pierre et Marie Curie, Paris 6, May 2006.
  • 53M. Doumic, B. Perthame, J. Zubelli.

    Numerical Solution of an Inverse Problem in Size-Structured Population Dynamics, in: Inverse Problems, 2009, vol. 25, no electronic version, 045008 p.
  • 54J.-F. Gerbeau, B. Perthame.

    Derivation of Viscous Saint-Venant System for Laminar Shallow Water; Numerical Validation, in: Discrete and Continuous Dynamical Systems, Ser. B, 2001, vol. 1, no 1, p. 89-102.
  • 55S. Hoehme, M. Brulport, A. Bauer, E. Bedawy, W. Schormann, R. Gebhardt, S. Zellmer, M. Schwarz, E. Bockamp, T. Timmel, J. Hengstler, D. Drasdo.

    Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration, in: Proc. Natl. Acad. Sci. (USA), 2010, vol. 107, no 23, p. 10371–10376.
  • 56S. Hoehme, D. Drasdo.

    A cell-based simulation software for multi-cellular systems, in: Bioinformatics, 2010, vol. 26, no 20, p. 2641–2642.
  • 57B. Perthame, J. Zubelli.

    On the inverse problem for a size-structured population model, in: Inverse Problems, 2007, vol. 23, no 3, p. 1037–1052.